Triple

T17838918
Position Surface form Disambiguated ID Type / Status
Subject Japanese battlecruiser Kongō E445466 entity
Predicate sisterShip P3142 FINISHED
Object Haruna
Haruna was an Imperial Japanese Navy Kongō-class fast battleship that served prominently in both World War I and World War II.
 E314408 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Haruna | Statement: [Japanese battlecruiser Kongō, sisterShip, Haruna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haruna
Context triple: [Japanese battlecruiser Kongō, sisterShip, Haruna]
  • A. Haruna
    Haruna was a Japanese Kongō-class fast battleship that served in the Imperial Japanese Navy during both World Wars and saw extensive action in the Pacific Theater.
  • B. Hiruta
    Hiruta is a character in the 1950 Japanese film "Scandal," directed by Akira Kurosawa.
  • C. Hiran
    Hiran is a central region of Somalia known for its strategic location along the Shabelle River and its role as an important agricultural and administrative area.
  • D. Yahata
    Yahata was a former city in Fukuoka Prefecture, Japan, that became part of the larger city of Kitakyushu through municipal merger.
  • E. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Haruna
Triple: [Japanese battlecruiser Kongō, sisterShip, Haruna]
Generated description
Haruna was an Imperial Japanese Navy Kongō-class fast battleship that served prominently in both World War I and World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haruna
Target entity description: Haruna was an Imperial Japanese Navy Kongō-class fast battleship that served prominently in both World War I and World War II.
  • A. Haruna chosen
    Haruna was a Japanese Kongō-class fast battleship that served in the Imperial Japanese Navy during both World Wars and saw extensive action in the Pacific Theater.
  • B. Hiruta
    Hiruta is a character in the 1950 Japanese film "Scandal," directed by Akira Kurosawa.
  • C. Hiran
    Hiran is a central region of Somalia known for its strategic location along the Shabelle River and its role as an important agricultural and administrative area.
  • D. Yahata
    Yahata was a former city in Fukuoka Prefecture, Japan, that became part of the larger city of Kitakyushu through municipal merger.
  • E. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d29830c81909fa3ef5a352921b8 completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8e5bcbc8190b7cbded45d8a97a6 completed May 17, 2026, 1:55 p.m.
NEDg Description generation batch_6a09c9a6b84881908f9193b89ded7361 completed May 17, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a09caa391588190808eb3dcaff07803 completed May 17, 2026, 2:03 p.m.
Created at: April 10, 2026, 10:16 a.m.